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In 2025, Manifold has innovated at a rapid rate. As we enter 2026, we are excited to continue pushing boundaries and building world-class products for our growing customer base ☁️⚡️
Manifold
168 posts
Manifold
@manifoldlabs
- Introducing Manifold 2.0 This week, we're excited to introduce new products alongside a major update to Targon
00:00 - Manifold has raised a $10.5M Series A to accelerate the growth of @TargonCompute
- Introducing Targon Virtual Machine (TVM) TVM introduces a robust architecture for confidential computing designed specifically for secure AI workloads, enabling pretraining, posttraining, and inference operations to be securely executed on bare-metal servers
- Only on Bittensor🤯🤯🤯 Fastest decentralized training in the world happening NOW on Bittensor. Look at that gorgeous loss 🤌🏼 “We could very much handle training a 100B+ parameter model with this method” — @const_reborn
- Introducing Targon V6 The Targon Virtual Machine (TVM) establishes a secure, confidential computing framework specifically tailored for AI workloads, providing robust hardware and GPU attestation through integration with NVIDIA's nvTrust SDK
- Introducing Tao XYZ A dynamic "Bloomberg Terminal" for Bittensor power users
- Sybil is fully open-source
- Join us in ETH Denver for the First Annual Bittensor Hackathon Whether you are a seasoned Bittensor engineer or just getting started, join us for a day of programming. Sign up at the link below
- Last night, we introduced Decentralized AI Coworking, a groundbreaking initiative to ensure the future of AI remains open source and decentralized While AI has shown a natural tendency toward centralization, this space aims to counter that trend by bringing together the
- Over the last five days, Targon has processed 7.7B organic tokens on @openrouter, including over 2B today
- Introducing Sybil Reimagined Sybil now features a sleek new interface, support for multiple models, and a dramatically improved search experience
- Welcome to the Manifold Labs Twitter! 🐣 We are excited to build this community and share the progress on projects we‘re working on. Currently our projects include Sybil.com, managing Subnet 4 on @opentensor, and our robotics branch. Join our discord for more
- Targon (SN4) is now fully powering inference for the Mini Model (trained on SN11) within the Dippy app This represents one of the first intra-subnet, consumer-facing use cases for BittensorThe @dippy_ai app (serving 600K+ MAU) is now powered by Bittensor! Model training is done on SN11, and inference on @manifoldlabs SN4. You can choose "Mini" in Dippy's model picker to try it yourself. Why are we working on this, and where do we go from here? ( 1/5🧵)
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